"Excel is the #1 data analysis tool for accountants. Yet many accountants have never learned the basics of data analysis using Excel or the tools that Excel offers to help with data analysis.
We created this 6-part series to teach users the art of Data Analysis using Excel. Although you are not required to take these Parts in order, we highly recommend that you take Part 1 FIRST in order to build the foundation for Excel Data Analysis. Parts 2 through 6 can be taken in any order.

Excel is the #1 data analysis tool for accountants.Yet many accountants have never learned the basics of data analysis using Excel or the tools that Excel offers to help with data analysis.

We created this 6-part series to teach users the art of Data Analysis using Excel. Although you are not required to take these Parts in order, we highly recommend that you take Part 1 FIRST in order to build the foundation for Excel Data Analysis. Parts 2 through 6 can be taken in any order.

This session is Part 2 of the 6-Part Data Analysis series and is designed to teach participants how to get electronic data into Excel.You will learn how to get data from a variety of sources such as accounting systems, databases, web systems, public data, report files, CSV files, etc.We will cover many of the data connections available today that will help you get the data you need for data analysis. Although this course will be technical, we will proceed at a pace that will provide all participants the knowledge necessary to access their data.

Objectives:

After completing this class you will have the ability to... Set up source data in Excel using proper data structure Create data connections to access data Reduce the need to manually enter data in Excel

Major Subjects:

The major topics that will be covered in this class include: Getting data into the correct structure Using Excel's Get External Data tools including ODBC Importing data from text, CSV, delimited, report and XML files

Designed For:

All CPAs and Accounting Professionals that want to learn how to analyze data